No time to lie: Examining the identity of pro-vaccination and anti-vaccination supporters through user-generated content
Author
Abstract
Suggested Citation
DOI: 10.1016/j.socscimed.2024.116721
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Wang, Di & Lu, Jiahui & Zhong, Ying, 2023. "Futile or fertile? The effect of persuasive strategies on citizen engagement in COVID-19 vaccine-related tweets across six national health departments," Social Science & Medicine, Elsevier, vol. 317(C).
- Ashlee Humphreys & Rebecca Jen-Hui Wang & Eileen FischerEditor & Linda PriceAssociate Editor, 2018. "Automated Text Analysis for Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 44(6), pages 1274-1306.
- Wood, Reed M. & Juanchich, Marie & Ramirez, Mark & Zhang, Shenghao, 2023. "Promoting COVID-19 vaccine confidence through public responses to misinformation: The joint influence of message source and message content," Social Science & Medicine, Elsevier, vol. 324(C).
- Klostermann, Jan & Plumeyer, Anja & Böger, Daniel & Decker, Reinhold, 2018. "Extracting brand information from social networks: Integrating image, text, and social tagging data," International Journal of Research in Marketing, Elsevier, vol. 35(4), pages 538-556.
- Ashlee Humphreys, 2010. "Semiotic Structure and the Legitimation of Consumption Practices: The Case of Casino Gambling," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(3), pages 490-510, October.
- Valdez, Danny & Soto-Vásquez, Arthur D. & Montenegro, María S., 2023. "Geospatial vaccine misinformation risk on social media: Online insights from an English/Spanish natural language processing (NLP) analysis of vaccine-related tweets," Social Science & Medicine, Elsevier, vol. 339(C).
- Hartmann, Jochen & Huppertz, Juliana & Schamp, Christina & Heitmann, Mark, 2019. "Comparing automated text classification methods," International Journal of Research in Marketing, Elsevier, vol. 36(1), pages 20-38.
- Alantari, Huwail J. & Currim, Imran S. & Deng, Yiting & Singh, Sameer, 2022. "An empirical comparison of machine learning methods for text-based sentiment analysis of online consumer reviews," International Journal of Research in Marketing, Elsevier, vol. 39(1), pages 1-19.
- McKinley, Christopher J. & Limbu, Yam, 2024. "Promoter or barrier? Assessing how social media predicts Covid-19 vaccine acceptance and hesitancy: A systematic review of primary series and booster vaccine investigations," Social Science & Medicine, Elsevier, vol. 340(C).
- Fergie, Gillian & Hunt, Kate & Hilton, Shona, 2016. "Social media as a space for support: Young adults' perspectives on producing and consuming user-generated content about diabetes and mental health," Social Science & Medicine, Elsevier, vol. 170(C), pages 46-54.
- Nurmi, Johanna & Jaakola, Joni, 2023. "Losing trust: Processes of vaccine hesitancy in parents’ narratives," Social Science & Medicine, Elsevier, vol. 331(C).
- Chih-Hung Peng & Dezhi Yin & Han Zhang, 2020. "More than Words in Medical Question-and-Answer Sites: A Content-Context Congruence Perspective," Information Systems Research, INFORMS, vol. 31(3), pages 913-928, September.
- Roelen-Blasberg, Tobias & Habel, Johannes & Klarmann, Martin, 2023. "Automated inference of product attributes and their importance from user-generated content: Can we replace traditional market research?," International Journal of Research in Marketing, Elsevier, vol. 40(1), pages 164-188.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Pantano, Eleonora & Dennis, Charles & De Pietro, Michela, 2021. "Shopping centers revisited: The interplay between consumers’ spontaneous online communications and retail planning," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
- Grewal, Dhruv & Herhausen, Dennis & Ludwig, Stephan & Villarroel Ordenes, Francisco, 2022. "The Future of Digital Communication Research: Considering Dynamics and Multimodality," Journal of Retailing, Elsevier, vol. 98(2), pages 224-240.
- Pantano, Eleonora & Priporas, Constantinos-Vasilios & Devereux, Luke & Pizzi, Gabriele, 2021. "Tweets to escape: Intercultural differences in consumer expectations and risk behavior during the COVID-19 lockdown in three European countries," Journal of Business Research, Elsevier, vol. 130(C), pages 59-69.
- Bajde, Domen & Chelekis, Jessica & van Dalen, Arjen, 2022. "The megamarketing of microfinance: Developing and maintaining an industry aura of virtue," International Journal of Research in Marketing, Elsevier, vol. 39(1), pages 134-155.
- Gerrath, Maximilian H.E.E. & Mafael, Alexander & Ulqinaku, Aulona & Biraglia, Alessandro, 2023. "Service failures in times of crisis: An analysis of eWOM emotionality," Journal of Business Research, Elsevier, vol. 154(C).
- Hartmann, Jochen & Heitmann, Mark & Siebert, Christian & Schamp, Christina, 2023. "More than a Feeling: Accuracy and Application of Sentiment Analysis," International Journal of Research in Marketing, Elsevier, vol. 40(1), pages 75-87.
- Jonah Berger & Grant Packard & Reihane Boghrati & Ming Hsu & Ashlee Humphreys & Andrea Luangrath & Sarah Moore & Gideon Nave & Christopher Olivola & Matthew Rocklage, 2022. "Marketing insights from text analysis," Marketing Letters, Springer, vol. 33(3), pages 365-377, September.
- Ma, Liye & Sun, Baohong, 2020. "Machine learning and AI in marketing – Connecting computing power to human insights," International Journal of Research in Marketing, Elsevier, vol. 37(3), pages 481-504.
- Venkatesh Shankar & Sohil Parsana, 2022. "An overview and empirical comparison of natural language processing (NLP) models and an introduction to and empirical application of autoencoder models in marketing," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1324-1350, November.
- Lee, Liane W.Y. & Sharma, Piyush & Barnes, Bradley R., 2022. "Adopting big data to create an “outside-in” global perspective of guanxi," Journal of Business Research, Elsevier, vol. 139(C), pages 614-628.
- Ming-Hui Huang & Roland T. Rust, 2021. "A strategic framework for artificial intelligence in marketing," Journal of the Academy of Marketing Science, Springer, vol. 49(1), pages 30-50, January.
- Slater, Stephanie & Demangeot, Catherine, 2021. "Marketer acculturation to diversity needs: The case of modest fashion across two multicultural contexts," Journal of Business Research, Elsevier, vol. 134(C), pages 702-715.
- Alantari, Huwail J. & Currim, Imran S. & Deng, Yiting & Singh, Sameer, 2022. "An empirical comparison of machine learning methods for text-based sentiment analysis of online consumer reviews," International Journal of Research in Marketing, Elsevier, vol. 39(1), pages 1-19.
- Pantano, Eleonora, 2021. "When a luxury brand bursts: Modelling the social media viral effects of negative stereotypes adoption leading to brand hate," Journal of Business Research, Elsevier, vol. 123(C), pages 117-125.
- Stephanie Slater & Catherine Demangeot, 2021. "Marketer acculturation to diversity needs: The case of modest fashion across two multicultural contexts," Post-Print hal-03600360, HAL.
- Mario Campana & Katherine Duffy & Maria Rita Micheli, 2022. "‘We're all Born Naked and the Rest is Drag’: Spectacularization of Core Stigma in RuPaul's Drag Race," Journal of Management Studies, Wiley Blackwell, vol. 59(8), pages 1950-1986, December.
- Huang, Ming-Hui & Rust, Roland T., 2022. "A Framework for Collaborative Artificial Intelligence in Marketing," Journal of Retailing, Elsevier, vol. 98(2), pages 209-223.
- Bernhardt, Lea & Dewenter, Ralf & Thomas, Tobias, 2023.
"Measuring partisan media bias in US newscasts from 2001 to 2012,"
European Journal of Political Economy, Elsevier, vol. 78(C).
- Bernhardt, Lea & Dewenter, Ralf & Thomas, Tobias, 2020. "Measuring partisan media bias in US Newscasts from 2001-2012," Working Paper 183/2020, Helmut Schmidt University, Hamburg, revised 15 Nov 2022.
- Leah Warfield Smith & Randall Lee Rose & Alex R. Zablah & Heath McCullough & Mohammad “Mike” Saljoughian, 2023. "Examining post-purchase consumer responses to product automation," Journal of the Academy of Marketing Science, Springer, vol. 51(3), pages 530-550, May.
- Chen, Yanyan & Mandler, Timo & Meyer-Waarden, Lars, 2021. "Three decades of research on loyalty programs: A literature review and future research agenda," Journal of Business Research, Elsevier, vol. 124(C), pages 179-197.
More about this item
Keywords
User-generated content (UGC); Personal values; Vaccines; Group identity; Pro-vax; Anti-vax;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:socmed:v:347:y:2024:i:c:s0277953624001655. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.